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Paper Citation Record · LEDGER

Deep neural networks, generic universal interpolation, and controlled ODEs

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:1908.07838.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.07838 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:28:04.394919Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:42:48.110139Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0d21d56-d4a3-4c92-b21f-97d8b5c2d00a · outbound

This paper cites Belkin, D.

Deep neural networks, generic universal interpolation, and controlled ODEs Belkin, D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.729910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.300868Z digest=sha256:2a88eb0a76820b6d28e70a47f99f18d6a00d4191feee96baf2240dcd49d15309

Observation 2d6f2279-5bbe-4f23-b6ff-0da1067bdd6e · outbound

This paper cites Multi-level Residual Networks from Dynamical Systems View.

Deep neural networks, generic universal interpolation, and controlled ODEs Multi-level Residual Networks from Dynamical Systems View

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.306452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.306452Z digest=sha256:c91ef50ab4d0788be064b09758d0dcb3a73ed9e91e200b121be11e2e3166d2a1

Observation b044491a-e6cc-4ad5-b39f-80e91eca2710 · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.715759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.311830Z digest=sha256:c98fdd76dd69686ec67149ef19806d43b2cbe1f913257fb21634719cc4160ff5

Observation 6d56ad79-c323-49c9-8df1-c2e1270492ad · outbound

This paper cites Cuchiero, M.

Deep neural networks, generic universal interpolation, and controlled ODEs Cuchiero, M

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.701360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.316814Z digest=sha256:467e8bc0e643ffff9c00c552695940fb29f7350b555d9a1e9d735460629ab835

Observation d1a0003f-5892-4763-a90a-7a2c00df862a · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.686522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.322000Z digest=sha256:6c02df4096bc6ce0ed0ee701b4ad6a654c1513c37008004b0e77b5f350374cf0

Observation 2cbd83f1-c14d-447f-b4d6-8cbaa563c9b1 · outbound

This paper cites Augmented Neural ODEs.

Deep neural networks, generic universal interpolation, and controlled ODEs Augmented Neural ODEs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.332778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.332778Z digest=sha256:30114b9b52ceebdf0fd145bf6dc676ae6b40c9d68c43d48e281a86594c66cff1

Observation 6b05a3c5-2402-4b52-8165-337e81c62379 · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.670532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.337496Z digest=sha256:42b044a7d49285d49665c93bf10f3aec7601cd78eff00dff9c6b349116e9b237

Observation 793757f7-701d-4b76-bd56-58e5b6167706 · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.655331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.343147Z digest=sha256:7ccadecf9bf71717855f0ff8d30e18ccbc8950dae7a7c5a96d83674d0e0baebe

Observation 4db1acf2-13da-4d55-a8d6-0fdaca961e63 · outbound

This paper cites FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.

Deep neural networks, generic universal interpolation, and controlled ODEs FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.347772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.347772Z digest=sha256:7ea7fba88ed1623840e1b8b261c3fa10ceb48b0dbb78f557a317e6ceabfadcdb

Observation 0310795d-a0a4-4bc6-8acf-8a41d7c35b43 · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.640253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.352505Z digest=sha256:a33c681a3acf47695421e24590f187a3ac7b68f31f594d644fd35b90eac2b58f

Observation 11bd916f-fa61-43ae-9f0c-e0d0d02ce80a · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.625140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.356934Z digest=sha256:3b491482588fb97fdec122d3bbcc3901232f56426692d5e774ee61400ad92ba1

Observation fa44e122-92fb-4707-838e-3e7b542882f7 · outbound

This paper cites Kuranishi.

Deep neural networks, generic universal interpolation, and controlled ODEs Kuranishi

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.611064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.360886Z digest=sha256:50fcad428d19891374c7c9933c162bed8c8c8cca608c419aaafea69c14a565c8

Observation dab7d925-3144-4755-a270-86e4457d8324 · outbound

This paper cites Leites and E.

Deep neural networks, generic universal interpolation, and controlled ODEs Leites and E

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.595046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.364787Z digest=sha256:bb0b62f1154d9f538405c5d5e1bb7da6316f6cf0118aad58fea3c938be12d64f

Observation f1dc01cf-bf1a-477c-b6e9-72912fa56678 · outbound

This paper cites Just Interpolate: Kernel "Ridgeless" Regression Can Generalize.

Deep neural networks, generic universal interpolation, and controlled ODEs Just Interpolate: Kernel "Ridgeless" Regression Can Generalize

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.368704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.368704Z digest=sha256:f08ad0acaba9bcd5f65102f711b856bf5fbfe9c35f2f5eda0427da74007707c3

Observation 25b9b5ce-71d5-48b5-8898-9b3424af65f5 · outbound

This paper cites Selection dynamics for deep neural networks.

Deep neural networks, generic universal interpolation, and controlled ODEs Selection dynamics for deep neural networks

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:28:04.457191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.372800Z digest=sha256:930d374dfe278527ebec38dd9d3f30b5787c335b152cf4f94c1126ba0bfcee40

Observation 384f0f9c-0e8b-4372-b892-6ac092b3aaaa · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.579989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.377005Z digest=sha256:b1d74b24a3d37b113e0abb8848a9e91dab01d9b87278906f5fc81ffad4e71670

Observation ebed82c9-4125-4de4-8d1d-be383e17fce4 · outbound

This paper cites Magnus, A.

Deep neural networks, generic universal interpolation, and controlled ODEs Magnus, A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.565010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.381008Z digest=sha256:7b045bb342e78aed201b0a249e30dad75d05356cddc1835a92713a3239c02d63

Observation f5f47e20-db6c-4b0d-adad-a2b0309d660b · outbound

This paper cites Montgomery.

Deep neural networks, generic universal interpolation, and controlled ODEs Montgomery

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:28:04.549889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.385611Z digest=sha256:05a46628c743adc23e349bb4fdb62d3b10334781554666099c86b89c6c1e2289

Observation 4c0f0d76-8bdd-4957-8987-6b4e19d894ac · outbound

This paper cites an unresolved cited work.

Deep neural networks, generic universal interpolation, and controlled ODEs Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-14T13:28:04.535088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T13:28:04.390369Z digest=sha256:5b2ac6a459ec94ed4924332166d029a80d4741b098c9602b49b6e593cb95cb3c

Observation 09165ce8-c81f-4353-93f4-4814e2341db8 · outbound

This paper cites Approximation Capabilities of Neural ODEs and Invertible Residual Networks.

Deep neural networks, generic universal interpolation, and controlled ODEs Approximation Capabilities of Neural ODEs and Invertible Residual Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T13:28:04.394919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:28:04.394919Z digest=sha256:603ffc34119ea5f0ff426b0ee8b1fd395872e882e39e88c4ee0a57f010dba98b

Pith citing papers

Observation 686d779b-27c3-4adb-8bf4-d6950a8b51de · inbound

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces cites this paper.

Operator Neural Jump ODEs: $L^2$-optimal prediction in function spaces Deep neural networks, generic universal interpolation, and controlled ODEs

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-01T03:42:48.110139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:42:48.110139Z digest=sha256:dbf7b8193925ab8fb946147b8c3903e58b8edeb5a580c9dd7ee142f90755431f